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master's thesis
Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika
2022. urn:nbn:hr:179:419137
Petrov, Tomislav
University of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
Department of Electronics and Computing

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Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika | Appendix
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Petrov, T. (2022). Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika (Master's thesis). Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture. Retrieved from https://urn.nsk.hr/urn:nbn:hr:179:419137

Petrov, Tomislav. "Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:419137

Petrov, Tomislav. "Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika." Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, 2022. https://urn.nsk.hr/urn:nbn:hr:179:419137

Petrov, T. (2022). 'Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika', Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, accessed 01 February 2025, https://urn.nsk.hr/urn:nbn:hr:179:419137

Petrov T. Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika [Master's thesis]. Split: University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture; 2022 [cited 2025 February 01] Available at: https://urn.nsk.hr/urn:nbn:hr:179:419137

T. Petrov, "Interaktivno sučelje za označavanje pojava i objekata na sekvencama slika", Master's thesis, University of Split, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, Split, 2022. Available at: https://urn.nsk.hr/urn:nbn:hr:179:419137

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Metadata
TitleInteraktivno sučelje za označavanje pojava i objekata na sekvencama slika
AuthorTomislav Petrov
MentorDamir Krstinić https://orcid.org/0000-0002-9946-6630 (mentor)
GranterUniversity of Split
Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture
(Department of Electronics and Computing)
Split
Defense date and country2022-09-20, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
Cilj ovog rada bio je izraditi web sučelje za označavanje sekvenca slika u svrhu prikupljanja podataka potrebnih za metode dubokog učenja. Web aplikacija treba imati opciju registracije, prijave i odjave korisnika, pritom razlikujući uloge korisnika. Administrator ima kontrolu nad svim korisničkim računima, uređivanjem objava na stranici kao i svih instanca klasa u aplikaciji. Ovo zadnje obuhvaća dodavanje, brisanje ili modificiranje slika i svih maska kreiranih od njih. Uloga korisnika je puno manja, mogućnost prijave, registracije ili odjave te mogućnost pregleda i označavanja elemenata slika. Rad je konceptualno podijeljen u tri dijela. Prvi je teoretski uvod u sve tehnologije korištene pri izradi web aplikacije počevši od serverske strane prema klijentskoj. Potom slijedi detaljan opis o tome kako je aplikacija napravljena korak po korak i kako to sve zajedno funkcionira. Treći dio je dokumentacija o tome kako koristi web aplikaciju te je namijenjena za administratora ali i obične korisnike. Kako bi realizirali prethodno navedeno, koristili smo Django radni okvir i njegovu integriranu SQL Lite bazu podataka skupa s drugim web tehnologijama kao šta su HTML, CSS, JavaScript i Ajax. U praktičnom dijelu rada opisuje se prvo proces postavljanja baze podataka, poslužiteljske te klijentske strane. Zatim se opisuje implementacija različitih funkcionalnosti, metoda i komponenta aplikacije. Prikazan je i način rada aplikacije kroz samo korištenje, prikazujući pritom sva sučelja s kojima se korisnik može susresti prilikom korištenja.
Abstract (english)
The goal of this work was to create a web interface for marking image sequences for the purpose of collecting data needed for deep learning. The web application should offer the option of user registration, login and logout, while differentiating user roles. The administrator has control over all user accounts, editing page posts as well as all instances of classes in the application. The latter includes adding, deleting or modifying images and any masks created from them. The role of the user is much smaller, the possibility of logging in, registering or logging out, and the possibility of viewing and marking image elements. The work is conceptually divided into three parts. The first is a theoretical introduction to all the technologies used in creating a web application, starting from the server side to the client side. Then follows a detailed description of how the application was made step by step and how it all works together. The third part is documentation on how to use the web application and is intended for administrators as well as ordinary users. In order to realize the above, we used the Django framework and its integrated SQL Lite database together with other web technologies such as HTML, CSS, JavaScript and Ajax. In the practical part of the work, the process of setting up the database, server side and client side is described first. Then the implementation of various functionalities, methods and components of the application is described. The mode of operation of the application through its use is also shown, showing all the interfaces that the user may encounter during use.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:179:419137
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to authenticated users
Terms of useLicence In copyright icon
Created on2023-06-14 10:04:44